Compression of Chinese document images based on morphologic analysis and pattern matching

Shu Chen; Hong Yan; Zhizhan Xu

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Compression of Chinese document images based on morphologic analysis and pattern matching

机译：基于形态学分析和模式匹配的中文文献图像压缩

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摘要

We propose a highly efficient content-lossless compression scheme for Chinese document images. The scheme combines morphologic analysis with pattern matching to cluster patterns. In order to achieve the error maps with minimal error numbers, the morphologic analysis is applied to decomposing and recomposing the Chinese character patterns. In the pattern matching, the criteria are adapted to the characteristics of Chinese characters. Since small-size components sometimes can be inserted into the blank spaces of large-size components, we can achieve small-size pattern library images. Arithmetic coding is applied to the final compression. Our method achieves much better compression performance than most alternative methods, and assures content-lossless reconstruction.

机译：我们提出了一种高效的中文文档图像内容无损压缩方案。该方案将形态学分析与聚类模式的模式匹配相结合。为了获得误差数最小的误差图，将形态学分析应用于汉字图案的分解和重组。在模式匹配中，标准与汉字的特征相适应。由于小尺寸组件有时可以插入到大尺寸组件的空白区域，因此我们可以实现小尺寸的图案库图像。算术编码应用于最终压缩。与大多数替代方法相比，我们的方法实现了更好的压缩性能，并确保了内容无损重建。

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来源
《Optical Engineering》 |2006年第10期|107001-1-107001-8-0|共8页
作者
Shu Chen; Hong Yan; Zhizhan Xu;
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作者单位

The Chinese Academy of Science Shanghai Institute of Optics and Fine Mechanics 390, Qinghe Road Shanghai, 201800, China;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
morphology; pattern matching; document image compression;

机译：形态学;图案匹配;文档图像压缩;

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Compression of Chinese document images based on morphologic analysis and pattern matching

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